Building sentiment lexicons based on recommending services for the Polish language

Authors

  • Bogdan Gliwa AGH University of Science and Technology, Department of Computer Science, Krakow
  • Anna Zygmunt AGH University of Science and Technology, Department of Computer Science, Krakow
  • Michał Dąbrowski AGH University of Science and Technology, Department of Computer Science, Krakow

DOI:

https://doi.org/10.7494/csci.2016.17.2.163

Keywords:

sentiment analysis, sentiment lexicons, polarity lexicons, sentiment classification

Abstract

Sentiment analysis has become a prominent area of research in computer science. It has numerous practical applications; e.g., evaluating customer satisfaction, identifying product promoters. Many methods employed in this task require language resources such as sentiment lexicons, which are unavailable for the Polish language. Such lexicons contain words annotated with their emotional polarization, but the manual creation of sentiment lexicons is very tedious. Therefore, this paper addresses this issue and describes a new method of building sentiment lexicons automatically based on recommending services. Next, the built lexicons were used in the task of sentiment classification.

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Published

2016-07-01

How to Cite

Gliwa, B., Zygmunt, A., & Dąbrowski, M. (2016). Building sentiment lexicons based on recommending services for the Polish language. Computer Science, 17(2), 163. https://doi.org/10.7494/csci.2016.17.2.163

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